A Method for Calculating Daily Averages from GAMUT Sensor Data
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 143.9 MB|
|Created:||Nov 24, 2018 at 8:12 p.m.|
|Last updated:||Nov 24, 2018 at 8:19 p.m. by Greg Goodrum|
|Citation:||See how to cite this resource|
This resource presents an example method for taking raw GAMUT sensor data and calculating daily averages across a given time period using the Python programming language. The example code here uses turbidity as an example, but other variables and timescales can use a similar method. This resource was created as part of the coursework associated with CEE6110 at Utah State University.
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